Scientific Coordination

Prof. Dr.   Matthias Scheffler
Prof. Dr. Matthias Scheffler
Executive member
Phone:+49 30 8413-4711

Fritz Haber Institute of the Max Planck Society, Berlin

https://th.fhi-berlin.mpg.de/site/index.php?n=Members.MatthiasScheffler

Prof. Dr.  Peter  Benner
Prof. Dr. Peter Benner
Executive member
Phone:+49 39 1611-0450

Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg

http://www.mpi-magdeburg.mpg.de/benner

Coordination Assistants

Dr. Hanna   Krauter
Dr. Hanna Krauter
Phone:+49 30 8413-4720

Fritz Haber Institute of the Max Planck Society, Berlin

https://th.fhi-berlin.mpg.de/site/index.php?n=Members.Member?USRID=129

Dr.   Lobna Maaroufi
Dr. Lobna Maaroufi
Phone:+49 39 1611-0485

Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg

http://www.mpi-magdeburg.mpg.de/person/60012/842836

Contact

Call for BiGmax participation

BiGmax is a highly interdisciplinary Max Planck research network. Scientists from materials science, chemistry, physics, mathematics, computer and engineering sciences are working collectively on advancing the field of big data driven materials science. The principal investigators come from 11 Max Planck Institutes as well as the Humboldt University. They work in teams in the following areas:

1. Structure and plasticity of materials

2. Data diagnostics in imaging

3. Discovering interpretable patterns, correlations, and causality

4. Learning thermodynamic properties of materials

5. Materials Encyclopedia (incl. metadata for exp. samples and methods)

More detailed information about BiGmax can be found at the other pages of  https://www.bigmax.mpg.de/.

If you are interested in joining BiGmax, please send a 1 page description of your envisioned research project and a detailed C.V as a one pdf file to benner@mpi-magdeburg.mpg.de or scheffler@fhi-berlin.mpg.de 

BiGmax projects should always include significant cooperation between different BiGmax partners from different institutes, exploit the possibilities of BiGmax as a network, and be clearly situated in one of the 5 mentioned subject areas.

Specifically, we would like to involve more excellent young researchers in the cited scientific fields with an experienced background and profound interest in big data driven materials science. In case that there are no other available sources for pursuing the suggested research project, there is a limited amount of funding that can be supplied by BiGmax. To receive more information about this option, please contact

 
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